Paper 'In-Context Learning and Occam's razor' accepted at ICML 2025 (April 2025).
Paper 'WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?' accepted at ICML 2024 (May 2024).
First-author paper 'The Unsolved Challenges of LLMs as Generalist Web Agents: A Case Study' accepted at NeurIPS 2023 FMDM Workshop (November 2023).
First-author paper 'Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver' accepted at CP2023 (an A-grade conference) and awarded Distinguished Paper Award (July–August 2023).
Journal paper 'Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver' accepted by Constraint Journal (November 2024).
Awarded FRQNT doctoral scholarship for four years (March 2025).
Received Mitacs Accelerate scholarship (2 units, $30K CAD) in March 2023 for visiting researcher work at ServiceNow.
Background
Ph.D. student in Deep Learning at Mila under the supervision of Dhanya Sridhar.
Originally from Réunion Island.
Current research interests lie at the intersection of probabilistic modeling and learning theory, focusing on the role of simplicity and compression in designing robust learning algorithms.
Specific topics include in-distribution and out-of-distribution generalization, amortized learning, meta-learning, generative modeling, and flow-matching—particularly for applications in cancer immunotherapy.
Previously specialized in Reinforcement Learning and Combinatorial Optimization.